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17 results for “api uptime”
“Stripe achieved 99.99986% API uptime - just 44 seconds down all year”
...API availability last year was 99.99986%, which is forty four seconds of unavailable unavailability through the whole year. Mhmm. Which is we we fit in. And others don't publish statistics that are ki
23:23 / 24:05
tactical advice23:23 – 24:05
“Stripe achieved 99.99986% API uptime with MongoDB and Ruby as core tech”
...had, Stripe's critical API availability last year was 99.99986%,
23:07 / 23:44
founder story23:07 – 23:44
When your website or your app goes down, you don't want to hear a bunch of excuses, and you don't want to waste your time. You just want the problem fixed fast, and that's where Sentry comes in. They're handling all the real time error monitoring and
8:56 / 10:01
from transcript8:56 – 10:01
music, and film. It's all happening, folks. Yeah. Central Texas. Central Texas. Alright. Okay. It's a little drop of, blue making a couple, little city we got here called Austin. Alright. Thanks, Lonnie, Donnie. When your website or your app goes dow
10:28 / 11:35
from transcript10:28 – 11:35
When your website or your app goes down, it just want to fix that problem as quick as possible, And that's why there's Sentry, application monitoring software that's essential for over 4,000,000 developers today. Sentry handles all of your real time
20:38 / 22:02
from transcript20:38 – 22:02
When do you think it crosses over? Like, if you were to give an honest assessment or if we were gonna make a poly market and we were gonna place a, you know, a bet on it, the that lovable's security is twice as good as an as an expert. Twice as good
0:00 / 1:02
from transcript0:00 – 1:02
just two days before the financing was scheduled to close, this is their series g, a, quote, tier one investor, quote, in a position to know about, deals response to Rippling contacted a very senior partner at Rippling's series g investor. That perso
29:57 / 31:16
from transcript29:57 – 31:16
derivative of that AI wave, that are supporting the AI wave are also seeing incredible growth. You know, a company that click house in which we're investors, which has a bunch of AI use cases is also filling the the pool. So wherever you are in the s
20:11 / 21:19
from transcript20:11 – 21:19
Yep. Crashes can be a massive problem in AI. If you're running a huge compute job like training a model and one node fails, it can affect hundreds or thousands of servers. Sentry helped them detect bad hardware so they could quickly reject it before
4:02 / 5:30
from transcript4:02 – 5:30
with the exception of maybe if there's a coal plant or a gas plant already installed and you put a data center smack dab on top of it. Sure. But, you know, let's let's keep our eyes on the prize here, folks. Really great job to Zach and his team. Whe
29:56 / 31:10
from transcript29:56 – 31:10
It's funny. We're finding fit and how to actually describe that thing. I think when we first, first got started, we we we were a little all over the place in describing the, the LP show. It's all about the ride. It is. Oh, David. There we go. Alright
2:53 / 4:11
from transcript2:53 – 4:11
Yep. Crashes can be a massive problem in AI. If you're running a huge compute job like training a model and one node fails, it can affect hundreds or thousands of servers. Sentry helped them detect bad hardware so they could quickly reject it before
2:48 / 4:05
from transcript2:48 – 4:05
Anthropic used to have some older infrastructure monitoring in place. But at their massive scale and complexity, they instead adopted Sentry to help them fix issues faster. Yep. Crashes can be a massive problem in AI. If you're running a huge compute
4:26 / 5:45
from transcript4:26 – 5:45
they instead adopted Sentry to help them fix issues faster. Yep. Crashes can be a massive problem in AI. If you're running a huge compute job like training a model and one node fails, it can affect hundreds or thousands of servers. Sentry helped them
5:15 / 6:28
from transcript5:15 – 6:28
Yep. Crashes can be a massive problem in AI. If you're running a huge compute job like training a model and one node fails, it can affect hundreds or thousands of servers. Sentry helped them detect bad hardware so they could quickly reject it before
4:50 / 6:18
from transcript4:50 – 6:18
in those cases, they're basically trading inference for market share. And so you could view it as a marketing funnel. I've been working with and investing in founders for so long, I've got supernatural startup powers. For example, I know your team is
19:22 / 20:32
from transcript19:22 – 20:32
...uptime and all this stuff, replication requirements of enterprises You get SOC two audited with Fanta. There you go. Perfect. So very quickly, AWS could serve these two markets of start ups and the lift and shift enterprise. Now another way you could
1:25:29 / 1:26:32
from transcript1:25:29 – 1:26:32
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